3 citations · 6 across the 5 of their papers we have counts for
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cs.AI2024★ 1 cited
Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks
Marco Matarese, Francesco Rea, Katharina J. Rohlfing +1
Collaborative decision-making with artificial intelligence (AI) agents presents opportunities and challenges. While human-AI performance often surpasses that of individuals, the im…
cs.AI2024★ 3 cited
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Bečková, Štefan Pócoš, Giulia Belgiovine +4
The addressee estimation (understanding to whom somebody is talking) is a fundamental task for human activity recognition in multi-party conversation scenarios. Specifically, in th…